Remove 2018 Remove Artificial Intelligence Remove Data Quality Remove Monitoring
article thumbnail

Automating Data Standardization – All You Need to Know

Astera

Modern companies heavily rely on data to drive their decision-making processes, but data consistency and quality can lead to inaccurate conclusions. Gartner’s 2018 report highlights that organizations incur an average cost of $15 million annually due to poor data quality. What Is Data Standardization?

article thumbnail

The Importance of Transparency in Document Processing Automation 

Astera

Poor data quality can lead to biased or inaccurate results, undermining the system’s transparency and fairness. Not a surprising figure, given the host of benefits these systems have to offer , such as increased efficiency, reduced costs, and improved accuracy.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

Making this publication one of the greatest business data analytics books out there. 5) “Big Data Demystified: How To Use Big Data, Data Science And AI To Make Better Business Decisions And Gain Competitive Advantage” by David Stephenson PhD. Your Chance: Want to experience the power of business intelligence?

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).